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Volumn 20, Issue 1, 2008, Pages 1-12

SRDA: An efficient algorithm for large scale discriminant analysis

Author keywords

Dimensionality reduction; Linear discriminant analysis; Spectral regression

Indexed keywords

COMPUTATIONAL EFFICIENCY; DATA MINING; EIGENVALUES AND EIGENFUNCTIONS; LARGE SCALE SYSTEMS; OPTIMIZATION; REGRESSION ANALYSIS;

EID: 36649009540     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2007.190669     Document Type: Article
Times cited : (394)

References (28)
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    • J. Ye and T. Wang. Regularized discriminant analysis for high dimensional, low sample size data. In Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD'06), pages 454-463, 2006. Recent Reference Since the Article Was Submitted
    • J. Ye and T. Wang. Regularized discriminant analysis for high dimensional, low sample size data. In Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD'06), pages 454-463, 2006. Recent Reference Since the Article Was Submitted


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.